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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for SAT2 |
Basic gene info. | Gene symbol | SAT2 |
Gene name | spermidine/spermine N1-acetyltransferase family member 2 | |
Synonyms | SSAT2 | |
Cytomap | UCSC genome browser: 17p13.1 | |
Genomic location | chr17 :7529555-7531194 | |
Type of gene | protein-coding | |
RefGenes | NM_133491.3, | |
Ensembl id | ENSG00000141504 | |
Description | diamine N-acetyltransferase 2diamine acetyltransferase 2polyamine N-acetyltransferase 2spermidine/spermine N(1)-acetyltransferase 2spermidine/spermine N1-acetyltransferase 2thialysine N-epsilon-acetyltransferase | |
Modification date | 20141207 | |
dbXrefs | MIM : 611463 | |
HGNC : HGNC | ||
Ensembl : ENSG00000141504 | ||
HPRD : 15296 | ||
Vega : OTTHUMG00000108152 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_SAT2 | |
BioGPS: 112483 | ||
Gene Expression Atlas: ENSG00000141504 | ||
The Human Protein Atlas: ENSG00000141504 | ||
Pathway | NCI Pathway Interaction Database: SAT2 | |
KEGG: SAT2 | ||
REACTOME: SAT2 | ||
ConsensusPathDB | ||
Pathway Commons: SAT2 | ||
Metabolism | MetaCyc: SAT2 | |
HUMANCyc: SAT2 | ||
Regulation | Ensembl's Regulation: ENSG00000141504 | |
miRBase: chr17 :7,529,555-7,531,194 | ||
TargetScan: NM_133491 | ||
cisRED: ENSG00000141504 | ||
Context | iHOP: SAT2 | |
cancer metabolism search in PubMed: SAT2 | ||
UCL Cancer Institute: SAT2 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for SAT2(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: SAT2 |
Familial Cancer Database: SAT2 |
* This gene is included in those cancer gene databases. |
Oncogene 1 | Significant driver gene in |
cf) number; DB name 1 Oncogene; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 2 Tumor Suppressor gene; https://bioinfo.uth.edu/TSGene/, 3 Cancer Gene Census; http://www.nature.com/nrc/journal/v4/n3/abs/nrc1299.html, 4 CancerGenes; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 5 Network of Cancer Gene; http://ncg.kcl.ac.uk/index.php, 1Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/ |
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KEGG_ARGININE_AND_PROLINE_METABOLISM |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: SAT2 |
MedGen: SAT2 (Human Medical Genetics with Condition) | |
ClinVar: SAT2 | |
Phenotype | MGI: SAT2 (International Mouse Phenotyping Consortium) |
PhenomicDB: SAT2 |
Mutations for SAT2 |
* Under tables are showing count per each tissue to give us broad intuition about tissue specific mutation patterns.You can go to the detailed page for each mutation database's web site. |
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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows SAT2 related fusion information. |
ID | Head Gene | Tail Gene | Accession | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=14) | (# total SNVs=3) |
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(# total SNVs=0) | (# total SNVs=0) |
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* When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site,primary_histology,mutation(aa),pubmedID. |
GRCh37 position | Mutation(aa) | Unique sampleID count |
chr17:7530314-7530314 | p.W84L | 3 |
chr17:7530540-7530540 | p.L41L | 2 |
chr17:7530271-7530271 | p.P98P | 2 |
chr17:7530932-7530932 | p.E8K | 2 |
chr17:7530290-7530290 | p.E92V | 2 |
chr17:7530939-7530939 | p.R5R | 2 |
chr17:7529893-7529893 | p.V129I | 2 |
chr17:7529914-7529914 | p.C122G | 1 |
chr17:7530080-7530080 | p.K112K | 1 |
chr17:7530899-7530899 | p.R19W | 1 |
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Point Mutation/ Tissue ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
# sample | 1 | 1 |   | 3 |   |   |   |   | 2 | 1 |   |   |   |   |   |   | 3 |   |   | 1 |
# mutation | 1 | 1 |   | 3 |   |   |   |   | 2 | 1 |   |   |   |   |   |   | 3 |   |   | 1 |
nonsynonymous SNV | 1 | 1 |   | 3 |   |   |   |   | 1 |   |   |   |   |   |   |   | 1 |   |   | 1 |
synonymous SNV |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   |   |   | 2 |   |   |   |
cf) Tissue ID; Tissue type (1; BLCA[Bladder Urothelial Carcinoma], 2; BRCA[Breast invasive carcinoma], 3; CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], 4; COAD[Colon adenocarcinoma], 5; GBM[Glioblastoma multiforme], 6; Glioma Low Grade, 7; HNSC[Head and Neck squamous cell carcinoma], 8; KICH[Kidney Chromophobe], 9; KIRC[Kidney renal clear cell carcinoma], 10; KIRP[Kidney renal papillary cell carcinoma], 11; LAML[Acute Myeloid Leukemia], 12; LUAD[Lung adenocarcinoma], 13; LUSC[Lung squamous cell carcinoma], 14; OV[Ovarian serous cystadenocarcinoma ], 15; PAAD[Pancreatic adenocarcinoma], 16; PRAD[Prostate adenocarcinoma], 17; SKCM[Skin Cutaneous Melanoma], 18:STAD[Stomach adenocarcinoma], 19:THCA[Thyroid carcinoma], 20:UCEC[Uterine Corpus Endometrial Carcinoma]) |
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* We represented just top 10 SNVs. When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site, primary_histology, mutation(aa), pubmedID. |
Genomic Position | Mutation(aa) | Unique sampleID count |
chr17:7530096 | p.R87H | 1 |
chr17:7530305 | p.F79L | 1 |
chr17:7530328 | p.F51L | 1 |
chr17:7530510 | p.L41P | 1 |
chr17:7530541 | p.R19W | 1 |
chr17:7530899 | p.R7R | 1 |
chr17:7529810 | p.F156F | 1 |
chr17:7530935 | p.V129I | 1 |
chr17:7529893 | p.S123S | 1 |
chr17:7529909 | p.C122G | 1 |
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* Copy number data were extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered on Jan-05-2015. Function ProcessCNAData in TCGA-Assembler package was used to obtain gene-level copy number value which is calculated as the average copy number of the genomic region of a gene. |
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cf) Tissue ID[Tissue type]: BLCA[Bladder Urothelial Carcinoma], BRCA[Breast invasive carcinoma], CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], COAD[Colon adenocarcinoma], GBM[Glioblastoma multiforme], Glioma Low Grade, HNSC[Head and Neck squamous cell carcinoma], KICH[Kidney Chromophobe], KIRC[Kidney renal clear cell carcinoma], KIRP[Kidney renal papillary cell carcinoma], LAML[Acute Myeloid Leukemia], LUAD[Lung adenocarcinoma], LUSC[Lung squamous cell carcinoma], OV[Ovarian serous cystadenocarcinoma ], PAAD[Pancreatic adenocarcinoma], PRAD[Prostate adenocarcinoma], SKCM[Skin Cutaneous Melanoma], STAD[Stomach adenocarcinoma], THCA[Thyroid carcinoma], UCEC[Uterine Corpus Endometrial Carcinoma] |
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Gene Expression for SAT2 |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* Normalized gene expression data of RNASeqV2 was extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered at Jan-05-2015. Only eight cancer types have enough normal control samples for differential expression analysis. (t test, adjusted p<0.05 (using Benjamini-Hochberg FDR)) |
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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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ACADVL,C17orf59,TMEM256,ELP5,CUEDC2,CTDNEP1,GABARAP, GPS2,NAA38,MED11,OVCA2,PELP1,PSMB6,RANGRF, RNASEK,SAT2,SLC25A11,SPAG7,TRAPPC1,WRAP53,ZSWIM7 | BLOC1S1,CHMP4A,COPS6,COX4I1,ETFB,FAHD2A,FIS1, HDDC3,HTRA2,MPST,MRPS5,PARK7,PSMD4,S100A13, SAT2,STUB1,THAP3,TMEM42,TRAPPC2L,USE1,WDR45 |
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ADPRM,C17orf49,ELP5,FAM98C,FLJ25758,GABARAP,GAGE12D, GAGE4,MS4A13,LRRC75A-AS1,PFN3,PIP,PRPSAP2,RANGRF, RNASEK,RPAIN,SAT2,SSX2,STX8,UBB,ZFAND2A | CRISP2,CYP3A4,DAB1,DEFA5,DEFA6,DNASE1,FMO1, GSTA2,KHK,LRAT,MRO,NR0B2,OAT,PLB1, PRODH,SAT2,SHBG,SOAT2,SULT2A1,TM4SF4,TMPRSS15 |
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* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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Pharmacological Information for SAT2 |
There's no related Drug. |
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Cross referenced IDs for SAT2 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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